sadafgulshad1

Counterfactual-Explanations

Pytorch code for the paper Interpreting Adversarial Examples with Attributes

HIPE

WWNet

3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

APN-ZSL

This is a PyTorch implementation of the paper "Attribute Prototype Network for Zero-Shot Learning".

Augmentor

Image augmentation library in Python for machine learning.

Awesome-Video-Datasets

Video datasets

cvpr20_DAZLE

DFL-CNN

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

GradVis

HiREST

Hierarchical Video-Moment Retrieval and Step-Captioning (CVPR 2023)

hyperbolic_action

Code of CVPR2020 Paper "Searching for actions on the hyperbole"

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

kornia

Open Source Differentiable Computer Vision Library for PyTorch

mini-imagenet-tools

Tools for generating mini-ImageNet dataset and processing batches

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

opencv_transforms

OpenCV implementation of Torchvision's image augmentations

ProtoPNet

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-multilabel-balanced-sampler

PyTorch sampler that outputs roughly balanced batches with support for multilabel datasets

PyTorch-Pretrained-ViT

Vision Transformer (ViT) in PyTorch

robust_overfitting

robustness

Corruption and Perturbation Robustness (ICLR 2019)

starGAN_v2

starGAN v2 pytorch implementation

T2T-ViT

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

TransFG

This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

tutorials

PyTorch tutorials.

vision

Datasets, Transforms and Models specific to Computer Vision

ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)